Instructions to use BiliSakura/Looped-DiT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/Looped-DiT-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/Looped-DiT-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "a red cube on top of a blue sphere" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Looped-DiT-B-16/demo.png from BiliSakura/Looped-DiT-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 464 kB
-
https://huggingface.co/BiliSakura/Looped-DiT-diffusers/resolve/main/Looped-DiT-B-16/demo.png
- Command line
-
hf download hf://BiliSakura/Looped-DiT-diffusers/Looped-DiT-B-16/demo.png
-
curl -L -o demo.png https://huggingface.co/BiliSakura/Looped-DiT-diffusers/resolve/main/Looped-DiT-B-16/demo.png
464 kB

- Xet hash:
- 060e33831166feefb7404ab6a976ab87365ebaa7ac6372f864b8eccafcbddf13
- Size of remote file:
- 464 kB
- SHA256:
- 7e88e0aad98104429b95567e2a5e46ad7e8cd9eec7d8b7c74a9b7363b769780d
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